public void start(Analysis parent, HttpResponse response, System.Web.SessionState.HttpSessionState session)
{
ParameterStream stream = ParameterStream.getStream(session);
String[] features = (String[])stream.get("selectedFeatures");
int PCs = (int)stream.get("numberOfPCs");
Registry.Registry registry = Registry.Registry.getRegistry(session);
System.Data.DataSet ds = (System.Data.DataSet)registry.GetDataset((string)stream.get("dataSetName"));
//retrieve dataset table (assume one for now)
System.Data.DataTable dt = ds.Tables[0];
//raw data
double[,] rawData = new double[dt.Rows.Count, features.Count()];
for (int i = 0; i < dt.Rows.Count; i++)
{
for (int j = 0; j < features.Count(); j++)
{
rawData[i, j] = (double)dt.Rows[i].ItemArray.ElementAt(dt.Columns[features[j]].Ordinal);
}
}
//Create matrix to hold data for PCA
Matrix X = new Matrix(rawData);
//Remove mean
Vector columnVector;
for (int i = 0; i < X.ColumnCount; i++)
{
columnVector = X.GetColumnVector(i);
X.SetColumnVector(columnVector.Subtract(columnVector.Average()), i);
}
Matrix PCmatrix = new Matrix(X.ColumnCount, PCs, 0);
Vector Weights = new Vector(PCs);
System.Diagnostics.Stopwatch watch = new Stopwatch();
//Run algorithm and time it
watch.Start();
SingularValueDecomposition svd = SVD(X);
watch.Stop();
stream.set("algRunTime", watch.ElapsedMilliseconds);
/*
* response.Buffer = true;
* response.Write(PCmatrix.ToString() + "\n");
* response.Write(Weights.ToString() + "\n");
* response.Flush();
*/
Debug.WriteLine("Done with PCA");
stream.set("PCmatrix", svd.RightSingularVectors);
stream.set("Weights", svd.SingularValues);
parent.next(response, session);
}
protected void FeatureList_Init(object sender, EventArgs e)
{
String dataSetParameterName = "dataSetName";
ParameterStream stream = ParameterStream.getStream(Session);
if (stream.contains(dataSetParameterName))
{
Registry.Registry appRegistry = Registry.Registry.getRegistry(Session);
DataSet ds = appRegistry.GetDataset((String)stream.get(dataSetParameterName));
foreach (DataColumn dc in ds.Tables[0].Columns)
{
FeatureList.Items.Add(dc.ColumnName);
}
}
}
protected void Page_Load(object sender, EventArgs e)
{
Matrix PCmatrix = (Matrix)stream.get("PCmatrix");
String[] features = (String[])stream.get("selectedFeatures");
System.Data.DataSet ds = (System.Data.DataSet)registry.GetDataset((string)stream.get("dataSetName"));
//retrieve dataset table (assume one for now)
System.Data.DataTable dt = ds.Tables[0];
//raw data
double[,] rawData = new double[dt.Rows.Count, features.Count()];
for (int i = 0; i < dt.Rows.Count; i++)
{
for (int j = 0; j < features.Count(); j++)
{
rawData[i, j] = (double)dt.Rows[i].ItemArray.ElementAt(dt.Columns[features[j]].Ordinal);
}
}
//Create matrix to hold data for PCA
Matrix X = new Matrix(rawData);
//Remove mean
Vector columnVector;
for (int i = 0; i < X.ColumnCount; i++)
{
columnVector = X.GetColumnVector(i);
X.SetColumnVector(columnVector.Subtract(columnVector.Average()), i);
}
//get first two PCs
Matrix xy = new Matrix(PCmatrix.RowCount, 2);
xy.SetColumnVector(PCmatrix.GetColumnVector(0), 0);
xy.SetColumnVector(PCmatrix.GetColumnVector(1), 1);
//project
Matrix projected = X.Multiply(xy);
DataPoint point;
Projection.Series.Clear();
Projection.Legends.Clear();
//if a label column is selected
String LabelColumnName = LabelColumn.Text;
if (!LabelColumnName.Equals(""))
{
//get labels
int labelColumnIndex = dt.Columns[LabelColumnName].Ordinal;
List <String> labels = new List <String>();
String item;
for (int i = 0; i < dt.Rows.Count; i++)
{
item = (String)dt.Rows[i].ItemArray.ElementAt(labelColumnIndex);
if (!labels.Contains(item))
{
labels.Add(item);
}
}
Projection.Legends.Add(LabelColumnName);
System.Drawing.Font font = Projection.Legends[LabelColumnName].Font = new System.Drawing.Font(Projection.Legends[LabelColumnName].Font.Name, 14);
//Configure series
foreach (String label in labels)
{
Projection.Series.Add(label);
Projection.Series[label].LegendText = label;
Projection.Series[label].IsXValueIndexed = false;
Projection.Series[label].ChartType = SeriesChartType.Point;
Projection.Series[label].MarkerSize = 8;
}
//Add points
for (int i = 0; i < projected.RowCount; i++)
{
point = new DataPoint(projected[i, 0], projected[i, 1]);
String label = dt.Rows[i].ItemArray[labelColumnIndex].ToString();
Projection.Series[label].Points.Add(point);
}
}
else
{
//Single plot graph
Projection.Series.Add("series1");
Projection.Series[0].IsXValueIndexed = false;
Projection.Series[0].ChartType = SeriesChartType.Point;
Projection.Series[0].MarkerSize = 8;
for (int i = 0; i < projected.RowCount; i++)
{
point = new DataPoint(projected[i, 0], projected[i, 1]);
Projection.Series[0].Points.Add(point);
}
}
}